Triple
T7459319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antu |
E176203
|
entity |
| Predicate | VLTUnitTelescopeNumber |
P77029
|
FINISHED |
| Object | UT1 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UT1 | Statement: [Antu, VLTUnitTelescopeNumber, UT1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VLTUnitTelescopeNumber Context triple: [Antu, VLTUnitTelescopeNumber, UT1]
-
A.
firstLightOfVLT
Indicates the event or moment when the Very Large Telescope (VLT) successfully captured its first astronomical light (initial operational observation).
-
B.
telescopeUsed
Indicates that a particular telescope was employed or utilized to perform an observation or related activity.
-
C.
hasAuxiliaryTelescopes
Indicates that an entity is equipped with or includes additional telescopes that serve as auxiliary instruments to a primary telescope system.
-
D.
observatoryName
Indicates the name assigned to an observatory.
-
E.
auxiliaryTelescopeAperture
Indicates that one entity functions as the auxiliary telescope whose aperture (opening/diameter) is being specified or associated with another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d332d08190a05c92a00ed09ac6 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:37 p.m.